With an ever-growing aging population, the prevalence of normal pressure hydrocephalus
(NPH) is increasing. Clinical symptoms of NPH include cognitive impairment, gait …

The amount of medical image data produced in clinical and research settings is rapidly
growing resulting in vast amount of data to analyze. Automatic and reliable quantitative …

Whole brain segmentation from structural magnetic resonance imaging (MRI) is a
prerequisite for most morphological analyses, but is computationally intense and can …

Recent studies have illustrated that motion-related artifacts remain in resting-state fMRI (rs-
fMRI) data even after common corrective processing procedures have been applied, but the …

The aim of this review is to assess the potential for neuroimaging measures to facilitate
prediction of the onset of psychosis. Research in this field has mainly involved people at …

Age-related microstructural differences have been detected using diffusion tensor imaging
(DTI). Although DTI is sensitive to the effects of aging, it is not specific to any underlying …

We propose a framework for the robust and fully-automatic segmentation of magnetic
resonance (MR) brain images called “Multi-Atlas Label Propagation with Expectation …

Spatial resolution is a critical imaging parameter in magnetic resonance imaging. The image
super-resolution (SR) is an effective and cost efficient alternative technique to improve the …

Spatial resolution is one of the key parameters of magnetic resonance imaging (MRI). The
image super-resolution (SR) technique offers an alternative approach to improve the spatial …

Magnetic resonance imaging (MRI) is a technique that is widely used in practice to evaluate
any pathologies in the human body. One of the areas of interest is the human brain …